MLOps.community

391 Episodes

1. Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228

   Published: 30/04/2024
2. Leading Enterprise Data Teams // Sol Rashidi // #227

   Published: 26/04/2024
3. The Rise of Modern Data Management // Chad Sanderson // #226

   Published: 23/04/2024
4. Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // #225

   Published: 19/04/2024
5. GenAI in Production - Challenges and Trends // Verena Weber // #224

   Published: 17/04/2024
6. Introducing DBRX: The Future of Language Models // [Exclusive] Databricks Roundtable

   Published: 12/04/2024
7. From MVP to Production // AI in Production Conference

   Published: 9/04/2024
8. Data Engineering in the Federal Sector // Shane Morris // #223

   Published: 5/04/2024
9. What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // #222

   Published: 2/04/2024
10. MLOps - Design Thinking to Build ML Infra for ML and LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // #221

    Published: 29/03/2024
11. 4 Years of the MLOps Community // Demetrios Brinkmann // #220

    Published: 26/03/2024
12. The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219

    Published: 22/03/2024
13. Security and Privacy // Day 2 Panel 1 // AI in Production Conference

    Published: 19/03/2024
14. [Exclusive] Zilliz Roundtable // Why Purpose-built Vector Databases Matter for Your Use Case

    Published: 15/03/2024
15. A Decade of AI Safety and Trust // Petar Tsankov // MLOps Podcast #218

    Published: 12/03/2024
16. The Real E2E RAG Stack // Sam Bean, Rewind AI // #217

    Published: 8/03/2024
17. Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215

    Published: 5/03/2024
18. Becoming an AI Evangelist // Alex Volkov // #215

    Published: 1/03/2024
19. LLM Use Cases in Production // AI in Production Conference // Panel 1

    Published: 28/02/2024
20. Information Retrieval & Relevance // Daniel Svonava // #214

    Published: 24/02/2024